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Register a new userDeterminants of Inflation in Syria During The Period (1990-2010)
أهم محددات التضخم في سورية خلال الفترة (1990-2010)
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Tishreen University ورقة بحثية
Publication date
2015
fields
Economy
and research's language is
العربية
Created by
Shamra Editor
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يهدف هذا البحث إلى تحديد أثر أهم المتغيرات الاقتصادية (الداخلية منها و الخارجية) على معدل التضخم في سورية، و قد تم تحديد هذه المتغيرات المدروسة بناء على الآراء التي ينادي بها عدد من النظريات الاقتصادية المتعلقة بموضوع التضخم، حيث تشمل: فائض القوة الشرائية، ارتفاع مؤشر التكلفة داخل الاقتصاد، التضخم المستورد. و بينت المعادلة الممثلة لسلوك التضخم في الأجل الطويل، و التي تم التوصل إليها باستخدام طريقة المربعات الصغرى أن فائض القوة الشرائية هو المتغير الوحيد الذي ليس له أثر ذو دلالة إحصائية على معدل التضخم، بينما أظهرت المعادلة الممثلة لسلوك التضخم في الأجل القصير، والتي تم التوصل إليها باستخدام نموذج تصحيح الخطأ أن ارتفاع تكلفة الإنتاج هو العامل الأكثر تأثيراً على معدل التضخم.
This research investigates the main factors (domestic and foreign) affecting inflation rate in Syria. Choosing the factors is based on the analysis of the major economic hypothesis concerning inflation determinants such as: excess purchasing power, cost push inflation, foreign inflation. By using OLS method, we find long run function, and it shows that the excess purchasing power has no significant effect on inflation rate. The error correction model shows that high cost rate has the biggest effect on inflation rate in the short run.
References used
Boschi, M; Giradi, A. Euro area inflation: long- run determinants and shortrun dynamics, Applied Financial Economics, Taylor and Francis Group, London, Vol 37, 2005
Coibion, O; Gorodnichenko, Y; Wieland, J. The optimal inflation rate in new Keynesian models, NBER working paper No.16093, USA, 2010, p. 5
Vizek, M; Broz, T. Modeling inflation in Croatia, Emerging markets finance and trade, Vol 45, No.6, M E sharpe inc, Newyork, 2009, P. 97
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This research studies inflation and its reasons in the Syrian
economy using (1990-2010) data, also it studies imported inflation and its reflects on inflation rates, considering that the imported inflation is one of the major drivers of inflation in
transitioning economies.
We find that the imported inflation has a significant effect on
inflation rate, and it leads – beside endogenous factors – to high
inflation rates. Hence, there must be coordination among economic policies to achieve the balance between money market and commodities market, in addition to the optimal use of the potential sources, thus less import.
The purpose of this research is to study the determinants of the real exchange rate in
Syria during the period 1990 to 2011. We employed Vector Auto Regression (VAR) model
to study the long-term relationship between the real exchange rate and the f
actors affecting
it. Also we applied the Granger causality test to investigate the direction of the relationship
between these variables. In addition, the Impulse Response Functions (IRF) and the
Variance Decomposition to determine thecontribution of thesedeterminantsin the
interpretation ofthe variance oftherealexchangerateof the Syrian pound. Eight possible
determinants have been included in the empirical model: Foreign direct
investment,realGDPgrowthrate,money supply, government consumption, trade
openness,real interest rate, terms of trade, political stability indictor.
The variables that have been found to have a long run relationship with the real
exchange rate are: theforeign direct investment, real GDP growth rate and trade
openness.EspeciallyForeign direct investment and Real GDP growth rate which have the
greatest effect on the real exchange rate, while the trade openness had the least effect on
the real exchange rate in Syria.Leavingthe other determinants with insignificant effect on
real exchange rate in Syria.
This study aims to identify the factors affecting the velocity of
money in Syria during the period ( 1990-2010) based on the study
and review of the monetary theories, and the analysis of some
empirical studies that examined the velocity of money
and its
relation to macroeconomic variables. In addition to an
econometric study focused on the relationship between the
velocity of money in its narrow sense (M1) with the rate of
inflation, per capita GDP, real exchange rate, financial evolution,
interest rate and political instability, using ARDL methodology to
test joint integration.
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poused officially "from all sides, government institutions and people's organizations, civil society organizations and international organizations, and that the main objective of the population policy in Syria to achieve harmonization between population growth and economic and social development to meet the growing needs of the population to education and health services, water, electricity, transportation, unemployment and other needs, which raises the standard of living of the population and provide the level of well-being which included the strategic objectives of population policy areas of population growth and reproductive health and empowerment of women, youth and community participation, employment, education and geographical distribution the urbanization of the population and take advantage of the possibility of opening up the window of demographic, media, and develop an awareness of population issues also included the foundations of population policy and accessories at the legislative level, and the legal and institutional framework of civil government, media and educational, health and economic data, information and updated.
Should be this policy intrusive overcome obstacles and investing opportunities and integrate the population dimension dimensions of the various development and implementation without the remaining ink "on paper.
There are many ideas that come to the mind and many questions that keep coming
to the mind when it comes to analyzing the phenomenon of using the methods and tools to
help in the planning and making appropriate decisions.
In this research we tried
to display the importance of statistics and the most important
methods depending on the number of variables used in this analysis: descriptive
statistical indicators in case we had one variable, indexes in case we had two variables,
and factor analysis and analysis of variance in case we had several variables. These methods
were applied to production of irrigated wheat crop, both types soft and hard, during
the period 2000 - 2010 and the factors affecting its production, such as: the cultivated area,
yield, fertilizers, water, the average cost and the average price. Then the data were analyzed
using the Statistical package SPSS and program Excel. After that, they summarized
in two main factors that justify together (86.116%) of the overall variance. The first factor
was related to the land and everything related to it through a set of variables, which are:
the cultivated area and the need to fertilizers and water., The second factor was the importance
of the selling price of the crop per kilogram.
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